22nd June 2020: 'Towards Decentralised Life-Science Imaging Data Resources - Large Scale Data Ecosystem for Single Cell Imaging.' - Aleksandra Tarkowska, Wellcome Sanger Institute, Cambridge, UK.

Duration: 47 mins 58 secs

Share this media item:

Embed this media item:

<iframe width="_width_" height="_height_" src="https://sms.cam.ac.uk/media/3242756/embed" frameborder="0" scrolling="no" allowfullscreen></iframe>

Choose size:

About this item

Available Formats

About this item

22nd June 2020: 'Towards Decentralised Life-Science Imaging Data Resources - Large Scale Data Ecosystem for Single Cell Imaging.' - Aleksandra Tarkowska, Wellcome Sanger Institute, Cambridge, UK.'s image

Description:	Abstract: The advancement of microscopy imaging tests the limits and pushes the boundaries of scientific studies. It often exceeds the capacity of researchers’ personal workstations and challenges the conventional data storage systems. Growing number of life-science images produced daily challenge data management systems. File system storage in not sufficient enough to organise the microscopy data. Implementing a high throughput automated workflows and data management systems, are essential because: – they allow to integrate the heterogeneous data from decentralised data resources, – enable programmatic access to these data, – and support data interpretability. Bio: Ola Tarkowska is a Senior Software Engineer in Cellular Genetics Informatics group at Wellcome Sanger Institute helping to build a large-scale data infrastructure and ingestion pipelines to provide fast and easy access to petabytes of heterogeneous imaging data sets and their metadata. Before joining Sanger Institute, Ola worked in Open Microscopy Environment (OME) Consortium based at University of Dundee in Prof. Jason R. Swedlow team. She graduated with honours from University of Technology in Lodz, Poland with a Master of Science in Engineering degree. ORCID: https://orcid.org/0000-0002-3392-3691

Description:

Abstract:
The advancement of microscopy imaging tests the limits and pushes the boundaries of scientific studies. It often exceeds the capacity of researchers’ personal workstations and challenges the conventional data storage systems. Growing number of life-science images produced daily challenge data management systems. File system storage in not sufficient enough to organise the microscopy data. Implementing a high throughput automated workflows and data management systems, are essential because:
– they allow to integrate the heterogeneous data from decentralised data resources,
– enable programmatic access to these data,
– and support data interpretability.

Bio:
Ola Tarkowska is a Senior Software Engineer in Cellular Genetics Informatics group at Wellcome Sanger Institute helping to build a large-scale data infrastructure and ingestion pipelines to provide fast and easy access to petabytes of heterogeneous imaging data sets and their metadata. Before joining Sanger Institute, Ola worked in Open Microscopy Environment (OME) Consortium based at University of Dundee in Prof. Jason R. Swedlow team. She graduated with honours from University of Technology in Lodz, Poland with a Master of Science in Engineering degree.
ORCID: https://orcid.org/0000-0002-3392-3691


Created:	2020-06-25 17:41
Collection:	Imaging ONE WORLD
Publisher:	University of Cambridge
Copyright:	Aleksandra Tarkowska
Language:	eng (English)
Keywords:	Microscopy; Imaging; Single Cell; OME; Data; big data;

Available Formats

Format	Quality	Bitrate	Size
MPEG-4 Video	1280x720	2.93 Mbits/sec	1.03 GB	View
MPEG-4 Video	640x360	0.99 Mbits/sec	358.81 MB	View
WebM	1280x720	1.67 Mbits/sec	602.78 MB	View
WebM	640x360	430.68 kbits/sec	151.31 MB	View
MP3	44100 Hz	249.78 kbits/sec	87.54 MB	Listen
Auto *	(Allows browser to choose a format it supports)